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09/08/2023
MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask
Recent advancements in diffusion models have showcased their impressive ...
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08/21/2023
Dataset Quantization
State-of-the-art deep neural networks are trained with large amounts (mi...
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07/17/2023
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs
LLMs have demonstrated remarkable abilities at interacting with humans t...
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04/13/2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
Diffusion models have proven to be highly effective in generating high-q...
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03/08/2023
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
Data pruning aims to obtain lossless performances as training on the ori...
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03/08/2023
DiM: Distilling Dataset into Generative Model
Dataset distillation reduces the network training cost by synthesizing s...
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11/27/2022
Diffusion Probabilistic Model Made Slim
Despite the recent visually-pleasing results achieved, the massive compu...
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11/25/2022
Expanding Small-Scale Datasets with Guided Imagination
The power of Deep Neural Networks (DNNs) depends heavily on the training...
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11/20/2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models
We present an efficient text-to-video generation framework based on late...
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10/28/2022
MagicMix: Semantic Mixing with Diffusion Models
Have you ever imagined what a corgi-alike coffee machine or a tiger-alik...
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10/17/2022
Scaling Shifting Your Features: A New Baseline for Efficient Model Tuning
Existing fine-tuning methods either tune all parameters of the pre-train...
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05/27/2022
Sharpness-Aware Training for Free
Modern deep neural networks (DNNs) have achieved state-of-the-art perfor...
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04/26/2022
Understanding The Robustness in Vision Transformers
Recent studies show that Vision Transformers(ViTs) exhibit strong robust...
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04/11/2022
M^2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation
In this paper, we propose M^2BEV, a unified framework that jointly perfo...
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11/30/2021
Shunted Self-Attention via Multi-Scale Token Aggregation
Recent Vision Transformer (ViT) models have demonstrated encouraging res...
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04/22/2021
Token Labeling: Training a 85.4 56M Parameters on ImageNet
This paper provides a strong baseline for vision transformers on the Ima...
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03/22/2021
DeepViT: Towards Deeper Vision Transformer
Vision transformers (ViTs) have been successfully applied in image class...
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03/22/2021
AutoSpace: Neural Architecture Search with Less Human Interference
Current neural architecture search (NAS) algorithms still require expert...
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03/04/2021
Coordinate Attention for Efficient Mobile Network Design
Recent studies on mobile network design have demonstrated the remarkable...
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08/06/2020
ConvBERT: Improving BERT with Span-based Dynamic Convolution
Pre-trained language models like BERT and its variants have recently ach...
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07/02/2020
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
Spiking neural networks (SNNs) have shown clear advantages over traditio...
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08/18/2019
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
Despite the great progress made by deep CNNs in image semantic segmentat...
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07/12/2019