研一机器学习大作业，在Caltech-256数据集上进行图片分类与聚类

Code for visualizing the loss landscape of neural nets

Code for "OOBA: Object Offset Backdoor Attack on Remote Sensing Object Detection"

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks …

Accessible large language models via k-bit quantization for PyTorch.

Release for CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning [AAAI23]

A collection of AWESOME things about domain adaptation

This is the official implementation of ICCV2023 Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning.

[ICLR2024 Spotlight] Code Release of CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction

A repository and benchmark for online test-time adaptation.

Official implementation of CVPR2020 Paper "Cooling-Shrinking Attack"

Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)

[CVPR 2023] TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation

'NKD and USKD' (ICCV 2023) and 'ViTKD' (CVPRW 2024)

Download flickr8k, flickr30k image caption datasets

Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]

Python QR Code image generator

[IEEE TPAMI 2025] A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends

This is an official implementation for [ICLR'24] INTR: Interpretable Transformer for Fine-grained Image Classification.

Official implementation of "FET-FGVC: Feature-Enhanced Transformer for Fine-Grained Visual Classification"

Pytorch implementation of "Fine-grained Visual Classification with High-temperature Refinement and Background Suppression"

[TCSVT 2023, Highly Cited Paper] Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment

Solution of the NTIRE 2025 Challenge on Efficient Super-Resolution

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

本项目包含 WeblyFG-Dataset 的数据和相关工具，这是一个专门为细粒度视觉分类 (Fine-Grained Visual Classification, FGVC) 任务构建的大规模图像数据集。 与传统的人工标注数据集不同，本数据集的数据完全从网络搜索引擎自动收集而来，并利用了弱监督学习方法进行处理。它旨在推动在带有噪声标签和干扰信息的真实网络环境下进行细粒度识别的研究。

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

Data Upcycling Knowledge Distillation for Image Super-Resolution (official repository)

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)