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DE-DETRs

Official Implementation of DE-DETR and DELA-DETR in "Towards Data-Efficient Detection Transformers"

data-efficiency detection-transformer object-detection

Creat：2022-03-17T12:29:13

Update：2025-01-08T16:54:27

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YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite

Mask_RCNN

instance-segmentation

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Deep Learning For Image Processing

deep learning for image processing including classification and object-detection etc.

Frigate

NVR with realtime local object detection for IP cameras

Albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Swin Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

CVPR2024 Paper Code Interpretation

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cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Deep_learning_object_detection

A paper list of object detection using deep learning.

Yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/