CVPR 2018 Papers with Code/Data - Paper Digest CVPR 2018 Papers with Code/Data June 17, 2018 admin We identified 48 CVPR 2018 papers that have code or data published. Are you sure you want to create this branch? Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection, 29. Topological Planning With Transformers for Vision-and-Language Navigation, 31. Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers, 10. https://github.com/amusi/CVPR2021-Papers-with-Code. InverseForm: A Loss Function for Structured Boundary-Aware Segmentation, 8. Hierarchical Layout-Aware Graph Convolutional Network for Unified Aesthetics Assessment, Multi-Stage Progressive Image Restoration, Deep Convolutional Dictionary Learning for Image Denoising, SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements, AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries, Multimodal Motion Prediction With Stacked Transformers, LoFTR: Detector-Free Local Feature Matching With Transformers, Radar-Camera Pixel Depth Association for Depth Completion, Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression, Co-Grounding Networks With Semantic Attention for Referring Expression Comprehension in Videos, CASTing Your Model: Learning To Localize Improves Self-Supervised Representations, NeuralRecon: Real-Time Coherent 3D Reconstruction From Monocular Video, Learning Accurate Dense Correspondences and When To Trust Them, Weakly-Supervised Instance Segmentation via Class-Agnostic Learning With Salient Images, Unbiased Mean Teacher for Cross-Domain Object Detection, How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language, Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark, High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network, End-to-End Video Instance Segmentation With Transformers, A Second-Order Approach to Learning With Instance-Dependent Label Noise, Learning a Proposal Classifier for Multiple Object Tracking, SOLD2: Self-Supervised Occlusion-Aware Line Description and Detection, Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding, Neural Prototype Trees for Interpretable Fine-Grained Image Recognition, Robust Point Cloud Registration Framework Based on Deep Graph Matching, Dense Contrastive Learning for Self-Supervised Visual Pre-Training, Learning Temporal Consistency for Low Light Video Enhancement From Single Images, PatchmatchNet: Learned Multi-View Patchmatch Stereo, Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation, COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction, Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation, GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation, The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures, AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling, Towards Evaluating and Training Verifiably Robust Neural Networks, Spatially-Invariant Style-Codes Controlled Makeup Transfer, Bilateral Grid Learning for Stereo Matching Networks, Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning, All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training, PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths, FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space, FCPose: Fully Convolutional Multi-Person Pose Estimation With Dynamic Instance-Aware Convolutions, BoxInst: High-Performance Instance Segmentation With Box Annotations, Lite-HRNet: A Lightweight High-Resolution Network. Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling, Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators, Your "Flamingo" is My "Bird": Fine-Grained, or Not, 3D Human Action Representation Learning via Cross-View Consistency Pursuit, Diverse Semantic Image Synthesis via Probability Distribution Modeling, Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition, Unsupervised Degradation Representation Learning for Blind Super-Resolution, Dynamic Class Queue for Large Scale Face Recognition in the Wild, Semi-Supervised Action Recognition With Temporal Contrastive Learning, Multi-Perspective LSTM for Joint Visual Representation Learning, Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition, GAN Prior Embedded Network for Blind Face Restoration in the Wild, Watching You: Global-Guided Reciprocal Learning for Video-Based Person Re-Identification, High-Fidelity Neural Human Motion Transfer From Monocular Video, Polygonal Building Extraction by Frame Field Learning, NeuralFusion: Online Depth Fusion in Latent Space, PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation, Seesaw Loss for Long-Tailed Instance Segmentation, Counterfactual VQA: A Cause-Effect Look at Language Bias, Adversarial Generation of Continuous Images, A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection, Learning Delaunay Surface Elements for Mesh Reconstruction, Dynamic Head: Unifying Object Detection Heads With Attentions, Rethinking Channel Dimensions for Efficient Model Design, ACTION-Net: Multipath Excitation for Action Recognition, Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. These CVPR 2022 papers are the Open Access versions, provided by the Computer Vision Foundation. Tracking Pedestrian Heads in Dense Crowd, 10. UP-DETR: Unsupervised Pre-training for Object Detection with Transformers, 8. Are you sure you want to create this branch? Multiple Instance Active Learning for Object Detection, 22. Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework, 42. IQDet: Instance-wise Quality Distribution Sampling for Object Detection, 13. Attribution of existing assets: Just like papers are expected to cite previous work that inspired a submission or on which a submission is built, we expect CVPR papers to cite assets, such as code or datasets, that have been used in the creation of the submitted manuscript. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation, 9. How Transferable Are Reasoning Patterns in VQA? We found more than 200 CVPR 2020 papers with code or data published. Unbiased Mean Teacher for Cross-Domain Object Detection, 47. LoFTR: Detector-Free Local Feature Matching with Transformers, 9. Papers [Day 1: 2020-06-16] Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation, 28. CVPR 2022 (papers with code)! Mesh Saliency: An Independent Perceptual Measure or a Derivative of Image Saliency? To browse papers by author, here is a list of top CVPR-2022 authors. Bidirectional Projection Network for Cross Dimension Scene Understanding, 39. Depth From Camera Motion and Object Detection, 54. Multi-Modal Fusion Transformer for End-to-End Autonomous Driving, 6. Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection, 60. Multimodal Motion Prediction with Stacked Transformers, 15. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. LatinX in CV Research. UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation, 36. Join the community The repository contains code for CVPR 2023 submission paper titled "Selective Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching" - GitHub - AAAnonymousSubmission/RVSEPP: The repository contains code for CVPR 2023 submission paper titled "Selective Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching" Capturing Omni-Range Context for Omnidirectional Segmentation, 6. DAP: Detection-Aware Pre-training with Weak Supervision, 52. Multi-Scale Aligned Distillation for Low-Resolution Detection, 14. Sheng Li you can easily filter them by category . This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. 767. (Remote Sensing Image) 12. Adaptive Image Transformer for One-Shot Object Detection, 28. Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation, 31. Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs, 36. General Instance Distillation for Object Detection, 57. A tag already exists with the provided branch name. Domain-Specific Suppression for Adaptive Object Detection, 45. CVPR 2022 IDhttps://drive.google.com/file/d/15JFhfPboKdUcIH9LdbCMUFmGq_JhaxhC/view Taming Transformers for High-Resolution Image Synthesis, 34. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. End-to-End Object Detection with Fully Convolutional Network, 5. Object Recognition. &/ (Image&Video Retrieval/Video Understanding) 6. (Image Processing) 4. Revamping cross-modal recipe retrieval with hierarchical Transformers and self-supervised learning, Paper: https://www.amazon.science/publications/revamping-cross-modal-recipe-retrieval-with-hierarchical-transformers-and-self-supervised-learning, Code: https://github.com/amzn/image-to-recipe-transformers, 16. Unsupervised Object Detection With LIDAR Clues, 55. Black, Siyu Tang, Prune Truong, Martin Danelljan, Radu Timofte, Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen, Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu, Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang, Haozhe Qi, Chen Feng, Zhiguo Cao, Feng Zhao, Yang Xiao, Jaime Spencer, Richard Bowden, Simon Hadfield, Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons-Moll, Siyu Tang, Michael J. Transformation Invariant Few-Shot Object Detection, Paper: https://openaccess.thecvf.com/content/CVPR2021/html/Li_Transformation_Invariant_Few-Shot_Object_Detection_CVPR_2021_paper.html, 35. Scaled-YOLOv4: Scaling Cross Stage Partial Network, 3. Code Uasge. LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity, 24. June 10, 2021 admin. SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation, 27. Are you sure you want to create this branch? Dense Label Encoding for Boundary Discontinuity Free Rotation Detection, 24. Multi-Object Detection and Tracking with Sound by cvpr papers with code Multimodal Knowledge, 49 with Attentions,.! Clusformer: a Transformer based Clustering Approach to Unsupervised Large-Scale Face and Recognition! 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