Deformable Detr Deformable Transformers For
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D DETR: DEFORMABLE TRANSFORMERS FOR -E OBJECT …
arxiv.orgPublished as a conference paper at ICLR 2021 DEFORMABLE DETR: DEFORMABLE TRANSFORMERS FOR END-TO-END OBJECT DETECTION Xizhou Zhu 1, Weijie Su2z, Lewei Lu , Bin Li2, Xiaogang Wang 1;3, Jifeng Dai y 1SenseTime Research 2University of Science and Technology of China 3The Chinese University of Hong Kong …
Rethinking Semantic Segmentation From a Sequence-to ...
openaccess.thecvf.comDETR [4] and the following deformable version utilize transformer for object detection where transformer is appended inside the detection head. STTR [31] and ... Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers ...
SeqFormer: a Frustratingly Simple Model for Video Instance ...
arxiv.orgthe hand-crafted post-processing module. Deformable Detr [29] achieves better performance by using local attention and multi-scale feature maps. VisTR [24] is the first method that adapts DETR [4] to the VIS task and uses instance queries to obtain instance sequence from video clips. How-ever, VisTR can not handle variable-length or long-time
AAAI-22 Accepted Papers — Main Technical Track
aaai.orgAAAI-22 Accepted Papers — Main Technical Track Main Track (The list of accepted papers for the Special Track on AI for Social Impact appears at the end of this document, beginning on page 77.) 11: Scaled ReLU Matters for Training Vision Transformers