Lucashsmello's Stars
hkchengrex/Cutie
[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation
hkchengrex/Tracking-Anything-with-DEVA
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
yoxu515/aot-benchmark
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
alaamaalouf/FollowAnything
Hedlen/awesome-segment-anything
Tracking and collecting papers/projects/others related to Segment Anything.
z-x-yang/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.
LeonidAlekseev/Swin-UNETR
A novel segmentation model termed Swin UNEt TRansformers (Swin UNETR). Specially for the task of 3D semantic segmentation.
Vincentqyw/GPT-GitHubRadar
tianrun-chen/xLSTM-UNet-PyTorch
Replacing Mamba with xLSTM! It works better. We show that xLSTM-Unet can be an effective semantic segmentation backbone.
kimsekeun/MediViSTA-SAM
Duojun-Huang/AlignSAM-CVPR2024
Pytorch official implementation for our CVPR-2024 paper "AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning".
SuperMedIntel/MedSegDiff
Medical Image Segmentation with Diffusion Model
SuperMedIntel/Medical-SAM-Adapter
Adapting Segment Anything Model for Medical Image Segmentation
automl/CVPR24-MedSAM-on-Laptop
Data-aware Fine-Tuning (DAFT) Code related to the CPVR24 Competition for Image Segmentation on a Laptop.
muxin-wei/Rep-MedSAM
Top 3 solution for CVPR24 SEGMENT ANYTHING IN MEDICAL IMAGES ON LAPTOP Challenge
hieplpvip/medficientsam
Efficient Segment Anything in Medical Images
Curli-quan/Slide-SAM
bscs12/BUSSAM
This repository is the official implementation for "Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images".
AxDante/SAAMI
Automatic segment and generate masks for any 3D medical images using SAM model without prompt
sigoden/aichat
All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI tools & agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
YSongxiao/MedSAMonLaptop_RepViT
The official implementation of "A Light-weight Universal Medical Segmentation Network for Laptops Based on Knowledge Distillation" (CVPR 2024 Workshop)
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
dengxl0520/MemSAM
[CVPR 2024 Oral] MemSAM: Taming Segment Anything Model for Echocardiography Video Segmentation.
ChaoningZhang/MobileSAM
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
luca-medeiros/lightning-sam
Fine-tune Segment-Anything Model with Lightning Fabric.
czg1225/Awesome-Efficient-Segment-Anything
One summary of efficient segment anything models
czg1225/SlimSAM
[NeurIPS 2024] SlimSAM: 0.1% Data Makes Segment Anything Slim
yhygao/universal-medical-image-segmentation
hitachinsk/SAMed
The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"
JaneliaSciComp/SAM_service
Web service which generates Segment Anything models