WB-DETR: Transformer-Based Detector without Backbone

Transformer-based detector is a new paradigm in object detection, which aims to achieve pretty-well performance while eliminates the priori knowledge driven components, e.g., anchors, proposals and the NMS. DETR, the state-of-the-art model among them, is composed of three sub-modules, i.e., a CNN-ba...

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Bibliographic Details
Main Authors: Liu, Fanfan, Wei, Haoran, Zhao, Wenzhe, Li, Guozhen, Peng, Jingquan, Li, Zihao
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Decoding
Detection and localization in 2D and 3D
Detectors
Feature extraction
Object detection
Pipelines
Transformers
Online Access:Request full text
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