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12/19/2022
Million-scale Object Detection with Large Vision Model
Over the past few years, developing a broad, universal, and general-purp...
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11/15/2022
NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction
With the wide and deep adoption of deep learning models in real applicat...
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11/14/2022
CabViT: Cross Attention among Blocks for Vision Transformer
Since the vision transformer (ViT) has achieved impressive performance i...
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11/14/2022
ParCNetV2: Oversized Kernel with Enhanced Attention
Transformers have achieved tremendous success in various computer vision...
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10/08/2022
Fast-ParC: Position Aware Global Kernel for ConvNets and ViTs
Transformer models have made tremendous progress in various fields in re...
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07/27/2022
ALBench: A Framework for Evaluating Active Learning in Object Detection
Active learning is an important technology for automated machine learnin...
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03/26/2022
Implementation of an Automated Learning System for Non-experts
Automated machine learning systems for non-experts could be critical for...
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03/08/2022
EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers
Recently, vision transformers started to show impressive results which o...
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11/19/2021
YMIR: A Rapid Data-centric Development Platform for Vision Applications
This paper introduces an open source platform for rapid development of c...
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07/30/2021
