-
Tongji University
- Shanghai
-
09:08
(UTC -12:00)
Stars
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…
🚀🚀 「大模型」50分钟完全从0训练26M的小参数GPT!🌏 Train a 26M-parameter GPT from scratch in just 50 min!
[CVPR 2023] Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
Official implementation of ICCV2023 VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation
[ECCV-2020-oral]-Semantic Flow for Fast and Accurate Scene Parsing
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end…
PaddleSlim is an open-source library for deep model compression and architecture search.
TPAMI:Frequency-aware Feature Fusion for Dense Image Prediction
(IJCV2024 & ICCV2023) LSKNet: A Foundation Lightweight Backbone for Remote Sensing
OpenMMLab Detection Toolbox and Benchmark
moving object detection for satellite videos.
[IEEE TGRS 2021] Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark
A Library for Advanced Deep Time Series Models.
Official Repo of NeurIPS '21: "Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection"
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Speech Recognition using DeepSpeech2.
Code release for CVPR'24 submission 'OmniGlue'
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Reference implementations of MLPerf™ inference benchmarks
[T-PAMI-2024] Transformer-Based Visual Segmentation: A Survey
Efficient vision foundation models for high-resolution generation and perception.
CVPR 2024 Highlight: Frequency-Adaptive Dilated Convolution for Semantic Segmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
[ICLR 2025] Official PyTorch implementation of "DECO: Query-Based End-to-End Object Detection with ConvNets"