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2010.04159
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Deformable DETR: Deformable Transformers for End-to-End Object Detection
International Conference on Learning Representations (ICLR), 2020
8 October 2020
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
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Papers citing
"Deformable DETR: Deformable Transformers for End-to-End Object Detection"
32 / 2,782 papers shown
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Transformer in Transformer
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Conditional Positional Encodings for Vision Transformers
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TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
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Gaining Scale Invariance in UAV Bird's Eye View Object Detection by Adaptive Resizing
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Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
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Object Detection Made Simpler by Eliminating Heuristic NMS
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Curriculum Learning: A Survey
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Segmenting Transparent Object in the Wild with Transformer
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20 Jan 2021
TrackFormer: Multi-Object Tracking with Transformers
Computer Vision and Pattern Recognition (CVPR), 2021
Tim Meinhardt
A. Kirillov
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Transformers in Vision: A Survey
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TransTrack: Multiple Object Tracking with Transformer
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TransPose: Keypoint Localization via Transformer
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A Survey on Visual Transformer
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Toward Transformer-Based Object Detection
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DETR for Crowd Pedestrian Detection
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Chuming Li
Xingyuan Bu
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MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
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Pre-Trained Image Processing Transformer
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Hanting Chen
Yunhe Wang
Tianyu Guo
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Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Computer Vision and Pattern Recognition (CVPR), 2020
Pei Sun
Rufeng Zhang
Yi Jiang
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Ping Luo
ObjD
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Rethinking Transformer-based Set Prediction for Object Detection
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End-to-End Object Detection with Adaptive Clustering Transformer
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272
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Object Detection in 20 Years: A Survey
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474
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An Attentive Survey of Attention Models
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Varun Mithal
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R. Ramanath
414
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Semantic Driven Multi-Camera Pedestrian Detection
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Marcos Escudero-Viñolo
Jesús Bescós
Pablo Carballeira
222
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0
27 Dec 2018
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