Official code for the AAAI 2026 paper ”Spatio-Temporal Context Learning with Temporal Difference Convolution for Moving Infrared Small Target Detection“

A curated collection of awesome README templates — contributions welcome

The official implementation of Infrared Few-Shot Object Detection via Global-Local Mutual Distillation Network and Confusion-Aware Loss

🚀2.3x faster than MinIO for 4KB object payloads. RustFS is an open-source, S3-compatible high-performance object storage system supporting migration and coexistence with other S3-compatible platfor…

Small Object Detection and Tracking Resources (SODT). Community effort to collect knowledge on SODT vision technology (papers, workshops, datasets, code, videos, etc)

[TGRS 2025] Implementation of our paper "Saliency at the Helm: Steering Infrared Small Target Detection with Learnable Kernels".

AirPods as posture coach on iOS

A Unified SAM-Guided Self-Prompt Learning Framework for Infrared Small Target Detection

Efficient Semantic Fine-grained Prior Generation and Refinement Decoder Based on SAM for Improved Multi-organ Segmentation

MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

The official code for “BDSFusion: Bidirectional-Driven Saliency Fusion Network for Infrared Dual-Band Images”

Official code for the paper UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters

tensorrt for yolo series (YOLOv11,YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support

RF-DETR is a real-time object detection model architecture developed by Roboflow, released under the Apache 2.0 license.

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A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks …

从无名小卒到大模型（LLM）大英雄~ 欢迎关注后续！！！

Solve Visual Understanding with Reinforced VLMs

Code for NeurIPS 2024 paper - The GAN is dead; long live the GAN! A Modern Baseline GAN - by Huang et al.

Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)

[TGRS25] Semi-supervised multi-view prototype learning with motion reconstruction for moving infrared small target detection

《动手学大模型Dive into LLMs》系列编程实践教程

[AAAI' 25] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

U-Net architecture with Kolmogorov-Arnold Convolutions (KA convolutions)

VisionGRU: A Linear-Complexity RNN Model for Efficient Image Analysis

[ISBI 2023] Official Pytorch implementation of "CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network"

[ICLR 2025] Autoregressive Video Generation without Vector Quantization

[CAIS, Springer] Repository for the paper, "SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers."