Alternatives and similar repositories for Sam2-collection

Users that are interested in Sam2-collection are comparing it to the libraries listed below

• lyxlplhy / Sam2Onnx_Inference
  ☆14Updated 11 months ago
• AliaChen / sam2TRT
  使用TensorRT进行sam2分割
  ☆22Updated last year
• script-Yang / segdino
  SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3
  ☆229Updated last month
• xzz777 / SCTNet
  Official implementation of SCTNet (AAAI2024)
  ☆312Updated 2 years ago
• miquel-espinosa / no-time-to-train
  Official code for "No time to train! Training-Free Reference-Based Instance Segmentation"
  ☆273Updated 2 months ago
• wanghao9610 / X-SAM
  [AAAI2026] X-SAM: From Segment Anything to Any Segmentation
  ☆350Updated 2 months ago
• Aimol-l / OrtInference
  Using OnnxRuntime to inference yolov10,yolov10+SAM ,yolov10+bytetrack , SAM2 and paddleOCR by c++ .
  ☆162Updated 4 months ago
• ZHE-SAPI / CostFilter-AD
  [ICML2025] Official Implementation of CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
  ☆80Updated last month
• little51 / dinov3-samples
  dinov3例子
  ☆76Updated 2 months ago
• KdaiP / MobileSAM-fast-finetuning
  Finetune MobileSAM with Less Than 4GB RAM!
  ☆33Updated 2 years ago
• sagieppel / fine-tune-train_segment_anything_2_in_60_lines_of_code
  The repository provides code for training/fine tune the Meta Segment Anything Model 2 (SAM 2)
  ☆289Updated last year
• Xuan-World / Mamba-YOLO-World
  Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection
  ☆95Updated 10 months ago
• Sompote / DINOV3-YOLOV12
  Use DINOv3’s powerful, self-supervised visual features + YOLOv12’s blazing-fast detection, all in one repo. Whether you have only a few h…
  ☆219Updated 2 months ago
• Aimol-l / SAM2Export
  try to export sam2 to onnx.
  ☆77Updated 8 months ago
• little51 / dinov3-train
  DINOv3训练示例
  ☆132Updated 2 months ago
• debby-0527 / SAM3-I
  ☆69Updated last month
• iMoonLab / Hyper-YOLO
  The source code of IEEE TPAMI 2025 "Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation".
  ☆208Updated last year
• gaobb / MetaUAS
  [NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
  ☆81Updated 4 months ago
• itsprakhar / Yolo-DinoV2
  DinoV2 Backbone for YOLO 🚀
  ☆60Updated last year
• EPFL-IMOS / AnomalyAny
  Official implementation of "Unseen Visual Anomaly Generation" (CVPR 2025)
  ☆249Updated 7 months ago
• serdarch / SERNet-Former
  [CVPR 2024 Workshops] SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusi…
  ☆71Updated last year
• junjiehe96 / FastInst
  [CVPR2023] FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation
  ☆214Updated last year
• Sompote / DINOV3_YOLO
  ☆58Updated 4 months ago
• GrandpaXun242 / AdaBLDM
  The implement for paper : "A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation…
  ☆89Updated last year
• Dinghaoxuan / SamLP
  ☆20Updated last year
• EnVision-Research / Defect_Spectrum
  Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics (ECCV2024)
  ☆133Updated last year
• jerpelhan / GeCo
  ☆103Updated 9 months ago
• iMoonLab / Hyper-YOLOv1.1
  The source code of IEEE TPAMI 2025 "Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation".
  ☆117Updated last year
• zhudongwork / SAM_TensorRT
  This is the code to implement Segment Anything (SAM) using TensorRT(C++).
  ☆43Updated 2 years ago
• luow23 / INP-Former
  [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”
  ☆257Updated 6 months ago