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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
YOLOv4 With TensorFlow
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite.
object-detection yolo yolov4 yolov4-tiny
Big GANs Are Watching You
We demonstrate that object saliency masks for GAN-produced images can be obtained automatically with BigBiGAN.
generative-adversarial-networks unet object-saliency big-gan
3D Detection and Domain Adaptation
1st Place Solution for Waymo Open Dataset Challenge
object-detection 3d domain-adaptation waymo
Optimizing MobileDet for Mobile Deployments
Learn about the criticalities of effectively optimizing MobileDet object detectors for mobile deployments.
tensorflow-lite object-detection computer-vision edge-ai
SpineNet: A Novel Architecture for Object Detection
A meta architecture called a scale-permuted model that enables two major improvements on backbone architecture design,iscovered with neural architecture ...
object-detection neural-architecture-search spinenet cvpr-2020
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