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08/04/2023
ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo
Compared to the multi-stage self-supervised multi-view stereo (MVS) meth...
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08/03/2023
Dynamic Token-Pass Transformers for Semantic Segmentation
Vision transformers (ViT) usually extract features via forwarding all th...
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02/27/2023
LMSeg: Language-guided Multi-dataset Segmentation
It's a meaningful and attractive topic to build a general and inclusive ...
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08/17/2022
Boosting Distributed Training Performance of the Unpadded BERT Model
Pre-training models are an important tool in Natural Language Processing...
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05/19/2022
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters
The ever-growing model size and scale of compute have attracted increasi...
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12/31/2021
Data-Free Knowledge Transfer: A Survey
In the last decade, many deep learning models have been well trained and...
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12/21/2021
Dynamically Stable Poincaré Embeddings for Neural Manifolds
In a Riemannian manifold, the Ricci flow is a partial differential equat...
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03/30/2021
Source-Free Domain Adaptation for Semantic Segmentation
Unsupervised Domain Adaptation (UDA) can tackle the challenge that convo...
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03/29/2021
Zero-shot Adversarial Quantization
Model quantization is a promising approach to compress deep neural netwo...
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03/06/2021
Adaptive Multi-Teacher Multi-level Knowledge Distillation
Knowledge distillation (KD) is an effective learning paradigm for improv...
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05/19/2020
