[CVPR 2024 Highlight] ImageNet-D

This is a codebase for I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images (WACV 2023).

This is a PyTorch implementation of the paper "Reinforcement Learning-Based Black-Box Model Inversion Attacks" accepted by CVPR 2023.

Official Pytorch Implementation for "Fix the Noise: Disentangling Source Feature for Controllable Domain Translation" (CVPR 2023, CVPRW 2022 Best paper)

Keras implementation of m2det object detection.

GLPDepth PyTorch Implementation: Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth

NLNL: Negative Learning for Noisy Labels

[CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data