tanphan07's Stars
chanind/curve-matcher
Curve matching using Fréchet distance and Procrustes analysis in JS
IDEA-Research/Grounded-SAM-2
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
ShaochengShen/MegaFusion
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning
IDEA-Research/TAPTR
[ECCV 2024] Official implementation of the paper "TAPTR: Tracking Any Point with Transformers as Detection"
facebookresearch/sam2
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 the model.
midasklr/facelandmarks
light-weight 98 points face landmark超轻98点人脸关键点检测模型
JinyuanLiu-CV/SegMiF
ICCV2023 | Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
muzishen/IMAGDressing
👔IMAGDressing👔: Interactive Modular Apparel Generation for Virtual Dressing
michaelowenliu/awesome-interactive-segmentation
A collection of AWESOME things about interactive segmentation.
xuebinqin/DIS
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
facebookresearch/MobileLLM
MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.
NVlabs/MambaVision
Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
om-ai-lab/OmDet
Real-time and accurate open-vocabulary end-to-end object detection
starhiking/HeatmapInHeatmap
Official implementation of HIH:Towards More Accurate Face Alignment via Heatmap in Heatmap
D-X-Y/landmark-detection
Four landmark detection algorithms, implemented in PyTorch.
jiankangdeng/MenpoBenchmark
Multi-pose 2D and 3D Face Alignment & Tracking
HRNet/HRNet-Facial-Landmark-Detection
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
ByungKwanLee/Full-Segment-Anything
This is Pytorch Implementation Code for adding new features in code of Segment-Anything. Here, the features support batch-input on the full-grid prompt (automatic mask generation) with post-processing: removing duplicated or small regions and holes, under flexible input image size
UX-Decoder/Semantic-SAM
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
apple/ml-4m
4M: Massively Multimodal Masked Modeling
cambrian-mllm/cambrian
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
robustsam/RobustSAM
RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)
lxtGH/OMG-Seg
OMG-LLaVA and OMG-Seg codebase [CVPR-24 and NeurIPS-24]
MedicineToken/Medical-SAM-Adapter
Adapting Segment Anything Model for Medical Image Segmentation
JunMa11/SegLossOdyssey
A collection of loss functions for medical image segmentation
PINTO0309/onnx2tf
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
usagisukisuki/Adaptive_t-vMF_Dice_loss
dog-qiuqiu/MobileNet-Yolo
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
siyuanliii/masa
Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything
yinguobing/facial-landmark-dataset
A collection of facial landmark datasets and Python code to make use of them.