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08/15/2023
Better Zero-Shot Reasoning with Role-Play Prompting
Modern large language models (LLMs), such as ChatGPT, exhibit a remarkab...
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07/27/2023
Robust graphs for graph-based methods
Graph-based two-sample tests and graph-based change-point detection that...
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07/20/2023
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
Reconstructing accurate 3D scenes from images is a long-standing vision ...
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06/29/2023
Low-Light Enhancement in the Frequency Domain
Decreased visibility, intensive noise, and biased color are the common p...
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06/28/2023
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model
Leveraging vast training data (SA-1B), the foundation Segment Anything M...
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06/27/2023
A new classification framework for high-dimensional data
Classification is a classic problem but encounters lots of challenges wh...
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06/20/2023
New Binary Self-Dual Cyclic Codes with Square-Root-Like Minimum Distances
The construction of self-dual codes over small fields such that their mi...
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06/07/2023
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
The increasing reliance on Large Language Models (LLMs) across academia ...
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05/24/2023
Remote Sensing Image Change Detection Towards Continuous Bitemporal Resolution Differences
Most contemporary supervised Remote Sensing (RS) image Change Detection ...
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03/30/2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Large-scale text-to-image diffusion models achieve unprecedented success...
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03/25/2023
DoNet: Deep De-overlapping Network for Cytology Instance Segmentation
Cell instance segmentation in cytology images has significant importance...
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03/24/2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications
Deep learning techniques have achieved superior performance in computer-...
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03/24/2023
Few Shot Medical Image Segmentation with Cross Attention Transformer
Medical image segmentation has made significant progress in recent years...
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03/22/2023
Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions
Deep learning has seen rapid growth in recent years and achieved state-o...
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02/22/2023
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
ChatGPT is a recent chatbot service released by OpenAI and is receiving ...
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01/26/2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
The critical challenge of Semi-Supervised Learning (SSL) is how to effec...
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09/25/2022
GPatch: Patching Graph Neural Networks for Cold-Start Recommendations
Cold start is an essential and persistent problem in recommender systems...
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09/21/2022
Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions
Over the past few years, the rapid development of deep learning technolo...
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08/15/2022
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
While parameter efficient tuning (PET) methods have shown great potentia...
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07/15/2022
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation
Brain tumor segmentation (BTS) in magnetic resonance image (MRI) is cruc...
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06/30/2022
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation
Nuclei Segmentation from histology images is a fundamental task in digit...
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06/29/2022
On Hull-Variation Problem of Equivalent Linear Codes
The intersection C⋂ C^⊥ (C⋂ C^⊥_h) of a linear code C and its Euclidean ...
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05/15/2022
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Pseudo labeling and consistency regularization approaches with confidenc...
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04/03/2022
Better Lattice Quantizers Constructed from Complex Integers
Real-valued lattices and complex-valued lattices are mutually convertibl...
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02/16/2022
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images
Nuclei segmentation is a crucial task for whole slide image analysis in ...
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01/19/2022
FRA-LSTM: A Vessel Trajectory Prediction Method Based on Fusion of the Forward and Reverse Sub-Network
In order to improve the vessel's capacity and ensure maritime traffic sa...
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12/24/2021
RISE: Rank in Similarity Graph Edge-Count Two-Sample Test
Two-sample hypothesis testing for high-dimensional data is ubiquitous no...
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10/29/2021
Visual Spatio-Temporal Relation-Enhanced Network for Cross-Modal Text-Video Retrieval
The task of cross-modal retrieval between texts and videos aims to under...
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07/20/2021
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection
Collecting large-scale annotated satellite imagery datasets is essential...
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12/15/2020
GTA: Global Temporal Attention for Video Action Understanding
Self-attention learns pairwise interactions via dot products to model lo...
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09/05/2019
Training Compact Neural Networks via Auxiliary Overparameterization
It is observed that overparameterization (i.e., designing neural network...
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07/13/2019
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis
Surgical tool presence detection and surgical phase recognition are two ...
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04/02/2019
FCOS: Fully Convolutional One-Stage Object Detection
We propose a fully convolutional one-stage object detector (FCOS) to sol...
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02/19/2019
XONN: XNOR-based Oblivious Deep Neural Network Inference
Advancements in deep learning enable cloud servers to provide inference-...
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01/13/2019
The Liver Tumor Segmentation Benchmark (LiTS)
In this work, we report the set-up and results of the Liver Tumor Segmen...
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10/14/2018
Sequential Change-point Detection for High-dimensional and non-Euclidean Data
In many modern applications, high-dimensional/non-Euclidean data sequenc...
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06/05/2018
