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DETR: End-to-End Object Detection with Transformers
A new method that views object detection as a direct set prediction problem.
object-detection panoptic-segmentation transformers computer-vision
VirTex: Learning Visual Representations from Textual Annotations
We train CNN+Transformer from scratch from COCO, transfer the CNN to 6 downstream vision tasks, and exceed ImageNet features despite using 10x fewer ...
convolutional-neural-networks transformers coco visual-representations
Object Detection with RetinaNet
Implementing RetinaNet: Focal Loss for Dense Object Detection.
object-detection retinanet keras tensorflow
Detectron2
FAIR's next-generation platform for object detection and segmentation.
object-detection detectron detectron2 pytorch
An Intuitive Guide to Deep Network Architectures
Intuition behind base network architectures like MobileNets, Inception, and ResNet.
object-detection image-classification transfer-learning computer-vision
EfficientDet meets Pytorch Lightning
Beginner friendly guide to object detection using EfficientDet.
object-detection efficientdet pytroch-lightning pytroch
Computer Vision Recipes
This repository provides examples and best practice guidelines for building computer vision systems.
computer-vision pytorch object-detection image-classification
Deep Learning for Object Detection: A Comprehensive Review
A closer look at Tensorflow’s object detection models: Faster R-CNN, R-FCN, and SSD.
object-detection convolutional-neural-networks rcnn computer-vision
Object Detection for Dummies
We will go through several basic concepts, algorithms, and popular deep learning models for image processing and object detection.
object-detection image-processing convolutional-neural-networks yolo
OpenMMLab Computer Vision
MMCV is a python library for CV research and supports many research projects such as object detection, segmentation, pose estimation, action ...
computer-vision object-detection 3d 3d-object-detection
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