yacbak

UnSAM

Code release for "Segment Anything without Supervision"

FastSAM

Fast Segment Anything

Awesome-Efficient-Segment-Anything

One summary of efficient segment anything models

SlimSAM

SlimSAM: 0.1% Data Makes Segment Anything Slim

wesam

[CVPR 2024] Code for "Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation"

openmask3d

SAI3D

[CVPR 2024] SAI3D: Segment Any Instance in 3D Scenes

ClipSAM

Grounded-Segment-Anything

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

segment_anything_onnx_models

onnx_models for segment_anything

efficientvit

EfficientViT is a new family of vision models for efficient high-resolution vision.

SegNext

Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts (CVPR 2024)

ctl_classification

ASAM

Zip-Your-CLIP

PTQ4SAM

[CVPR 2024] PTQ4SAM: Post-Training Quantization for Segment Anything

OV-SAM3D

Open-Vocabulary SAM3D: Understand Any 3D Scene

Open3DIS

Open3DIS: Open-vocabulary 3D Instance Segmentation with 2D Mask Guidance (CVPR 2024)

RobustSAM

RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)

SegAnyGAussians

The official implementation of SAGA (Segment Any 3D GAussians)

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

cs-self-learning

计算机自学指南

PointPillars_MultiHead_40FPS

A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.

interactdiffusion

[CVPR 2024] Official repo for "InteractDiffusion: Interaction-Control for Text-to-Image Diffusion Model".

MIGC

[CVPR 2024 Highlight] "MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis" (Official Implementation)

fpcc_pytorch

mmyolo_tensorrt

yolov5prune

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.

MobileSAM

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!