Stars
[CVPR24 Oral] Official repository for RALF: Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
Official pytorch repository for "QD-DETR : Query-Dependent Video Representation for Moment Retrieval and Highlight Detection" (CVPR 2023 Paper)
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Official repository for "PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout" (CVPR 2023).
metercai / SimpleSDXL
Forked from lllyasviel/FooocusEnhanced version of Fooocus for SDXL, more suitable for Chinese and Cloud
Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsens…
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🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset
This is a re-implementation of Siamese-RPN with pytorch, which is CVPR2018 spotlight.
A real-time object detection framework of Yolov3/v4 based on caffe
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Build your neural network easy and fast, 莫烦Python中文教学
kevinjunwei / learnopencv
Forked from spmallick/learnopencvLearn OpenCV : C++ and Python Examples
[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking
This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)
A PyTorch implementation of the YOLO v3 object detection algorithm
kevinjunwei / darknet
Forked from pjreddie/darknetConvolutional Neural Networks
Powerful visualization tool (still under development)