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08/31/2023
Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images
Stable diffusion, a generative model used in text-to-image synthesis, fr...
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06/02/2023
Federated Domain Generalization: A Survey
Machine learning typically relies on the assumption that training and te...
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03/21/2023
Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
In this paper, we propose a long-sequence modeling framework, named Stre...
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02/01/2023
CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
Code generation models based on the pre-training and fine-tuning paradig...
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11/11/2022
What's the Situation with Intelligent Mesh Generation: A Survey and Perspectives
Intelligent Mesh Generation (IMG) represents a novel and promising field...
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08/18/2022
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization
Open-world instance segmentation (OWIS) aims to segment class-agnostic i...
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03/25/2022
EmotionNAS: Two-stream Architecture Search for Speech Emotion Recognition
Speech emotion recognition (SER) is a crucial research topic in human-co...
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10/21/2021
3D-ANAS v2: Grafting Transformer Module on Automatically Designed ConvNet for Hyperspectral Image Classification
Hyperspectral image (HSI) classification has been a hot topic for decide...
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05/20/2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Recently, the advancement of deep learning in discriminative feature lea...
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03/18/2020
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
Semantic segmentation of large-scale outdoor point clouds is essential f...
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08/10/2019
