Stars
Code for the paper "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"
Low rank adaptation for Vision Transformer
EVE Series: Encoder-Free Vision-Language Models from BAAI
[CVPR 2024] Probing the 3D Awareness of Visual Foundation Models
[ICLR 2023] "Learning to Grow Pretrained Models for Efficient Transformer Training" by Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David …
Official Implementation of Paella https://arxiv.org/abs/2211.07292v2
[CVPR2023] Code Release of Aligning Bag of Regions for Open-Vocabulary Object Detection
[ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning"
[ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework for continual semi-supervised learning".
A playbook for systematically maximizing the performance of deep learning models.
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Code for "Continual Learning of Object Instances", Implemented in PyTorch, https://arxiv.org/abs/2004.10862
Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, Uri Shalit, Gal Chechik (Spotlight)
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Utilities for the human-object interaction detection dataset HICO-DET
Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101
Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)
Situation With Groundings (SWiG) dataset and Joint Situation Localizer (JSL)
PyTorch implementations of Generative Adversarial Networks.
Code for model presented on our paper accepted on European Conference on Computer Vision 2018.