csguomy

Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

Cream

This is a collection of our NAS and Vision Transformer work.

VMamba

VMamba: Visual State Space Models，code is based on mamba

knowledge-distillation-papers

knowledge distillation papers

awesome-knowledge-distillation

Awesome Knowledge Distillation

MDKNet

Modulating Domain-Specific Knowledge for Multi-domain Crowd Counting

CrowdCLIP

[CVPR 2023] CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model

CLIP-VG

Self-paced Curriculum Adapting of CLIP for Visual Grounding.

PseCo

(CVPR 2024) Point, Segment and Count: A Generalized Framework for Object Counting

ConvNeXt-V2

Code release for ConvNeXt V2 model

adapters

A Unified Library for Parameter-Efficient and Modular Transfer Learning

llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Semantic-Segment-Anything

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

Track-Anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

Segment-and-Track-Anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

FastSAM

Fast Segment Anything

FIDTM

[IEEE TMM] Focal Inverse Distance Transform Maps for Crowd Localization

crowddiff

yeezhu.github.io

personal website https://yeezhu.github.io/

DINO

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

robust_loss_pytorch

A pytorch port of google-research/google-research/robust_loss/

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

vision-longformer

google-research

Google Research

bigbird

Transformers for Longer Sequences

fast-transformers

Pytorch library for fast transformer implementations