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computer vision

735 papers

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CV

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neural network (6616) object detection (2759) semantic segmentation (3179) image classification (1943) convolutional neural network (4216) depth estimation (1540) deep learning (2111) representation learning (6174) self-supervised learning (3751) image restoration (1515)

Papers

Rethinking Image Cropping: Exploring Diverse Compositions From Global Views CVPR 2022
NightLab: A Dual-Level Architecture With Hardness Detection for Segmentation at Night CVPR 2022
Rethinking Efficient Lane Detection via Curve Modeling CVPR 2022
Human Hands As Probes for Interactive Object Understanding CVPR 2022
Thin-Plate Spline Motion Model for Image Animation CVPR 2022
SimVQA: Exploring Simulated Environments for Visual Question Answering CVPR 2022
LD-ConGR: A Large RGB-D Video Dataset for Long-Distance Continuous Gesture Recognition CVPR 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers CVPR 2022
Omnivore: A Single Model for Many Visual Modalities CVPR 2022
Trajectory Optimization for Physics-Based Reconstruction of 3D Human Pose From Monocular Video CVPR 2022
FoggyStereo: Stereo Matching With Fog Volume Representation CVPR 2022
A Hybrid Quantum-Classical Algorithm for Robust Fitting CVPR 2022
MatteFormer: Transformer-Based Image Matting via Prior-Tokens CVPR 2022
Chitransformer: Towards Reliable Stereo From Cues CVPR 2022
Self-Supervised Models Are Continual Learners CVPR 2022
Partially Does It: Towards Scene-Level FG-SBIR With Partial Input CVPR 2022
Body Meshes as Points CVPR 2021
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning AAAI 2021
Automated Symbolic Law Discovery: A Computer Vision Approach AAAI 2021
Line Segment Detection Using Transformers Without Edges CVPR 2021
Efficiently Identifying Task Groupings for Multi-Task Learning NIPS 2021
Medical Image Segmentation using Squeeze-and-Expansion Transformers IJCAI 2021
Single Image Human Proxemics Estimation for Visual Social Distancing WACV 2021
Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks WACV 2021
Revisiting ResNets: Improved Training and Scaling Strategies NIPS 2021