tandangzuoren

tandangzuoren's Stars

• hacksider/Deep-Live-Cam

  real time face swap and one-click video deepfake with only a single image

  Language:Python37.4k5.3k

• AIR-THU/DAIR-V2X-Seq

  Language:Python13615

• Traffic-X/ViT-CoMer

  Official implementation of the CVPR 2024 paper ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions.

  Language:Python20112

• UX-Decoder/Semantic-SAM

  [ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

  Language:Python2.3k107

• Traffic-X/Open-TransMind

  Official implementation of the CVPR paper Open-TransMind: A New Baseline and Benchmark for 1st Foundation Model Challenge of Intelligent Transportation

  Language:Python258

• hamidkazemi22/vit-visualization

  Language:Shell17516

• xxxnell/how-do-vits-work

  (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

  Language:Python80879

• sgavela/annotations-and-mAP-sripts

  Python scripts to parse between coco and bdd100k annotations for object detection. It also includes a folder 'mAP' that contains the script main.py which can calculate the mAP score given the ground-truth and prediction coordinates for detected objects.

  Language:Python3

• baaivision/EVA

  EVA Series: Visual Representation Fantasies from BAAI

  Language:Python2.2k165

• ShoufaChen/CycleMLP

  [ICLR'22 Oral] Implementation of "CycleMLP: A MLP-like Architecture for Dense Prediction"

  Language:Python28029

• whai362/PVT

  Official implementation of PVT series

  Language:Python1.7k245

• Expedit-LargeScale-Vision-Transformer/Expedit-SAM

  [NeurIPS2022] This is the official implementation of the paper "Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning" for SAM.

  Language:Jupyter Notebook818

• SimonVandenhende/Multi-Task-Learning-PyTorch

  PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

  Language:Python761113

• GitGyun/visual_token_matching

  [ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching

  Language:Python25214

• isl-org/DPT

  Dense Prediction Transformers

  Language:Python2k256

• czczup/ViT-Adapter

  [ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

  Language:Python1.2k137

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python6.4k661

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook14.9k1.4k

• NiFangBaAGe/Explicit-Visual-Prompt

  [CVPR 2023] Explicit Visual Prompting for Low-Level Structure Segmentations

  Language:Python18314

• sail-sg/iFormer

  iFormer: Inception Transformer

  Language:Python23919

• ylsung/Ladder-Side-Tuning

  PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"

  Language:Python22910

• OFA-Sys/ONE-PEACE

  A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

  Language:Python94459

• MedicineToken/Medical-SAM-Adapter

  Adapting Segment Anything Model for Medical Image Segmentation

  Language:Python96187

• ShoufaChen/AdaptFormer

  [NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"

  Language:Python31918

• Hedlen/awesome-segment-anything

  Tracking and collecting papers/projects/others related to Segment Anything.

  1.5k130

• facebookresearch/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.

  Language:Jupyter Notebook46.9k5.6k

• XiangLi1999/PrefixTuning

  Prefix-Tuning: Optimizing Continuous Prompts for Generation

  Language:Python886161

• THUDM/P-tuning-v2

  An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

  Language:Python2k201

• ylsung/VL_adapter

  PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)

  Language:Python20215

• huggingface/peft

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

  Language:Python16k1.6k