Fan Fan,Yang Zhao,Yuan Chen et al.
Fan Fan et al.
In the image super-resolution (SR) field, recovering missing high-frequency textures has always been an important goal. However, deep SR networks based on pixel-level constraints tend to focus on stable edge details and cannot effectively r...
A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language Models [0.03%]
评估多模态大型语言模型创造性的因果关系意识范式
Zhongzhan Huang,Shanshan Zhong,Pan Zhou et al.
Zhongzhan Huang et al.
Recently, numerous benchmarks have been developed to evaluate the logical reasoning abilities of large language models (LLMs). However, assessing the equally important creative capabilities of LLMs is challenging due to the subjective, dive...
Revisiting Flatness-aware Optimization in Continual Learning with Orthogonal Gradient Projection [0.03%]
正交梯度投影在持续学习中对平面意识优化的再探討
Enneng Yang,Li Shen,Zhenyi Wang et al.
Enneng Yang et al.
The goal of continual learning (CL) is to learn from a series of continuously arriving new tasks without forgetting previously learned old tasks. To avoid catastrophic forgetting of old tasks, orthogonal gradient projection (OGP) based CL m...
Bin Chen,Zhenyu Zhang,Weiqi Li et al.
Bin Chen et al.
While deep neural networks (NN) significantly advance image compressed sensing (CS) by improving reconstruction quality, the necessity of training current CS NNs from scratch constrains their effectiveness and hampers rapid deployment. Alth...
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics [0.03%]
使用积分概率度量的期望实现连续敏感属性的公平表示学习
Insung Kong,Kunwoong Kim,Yongdai Kim
Insung Kong
AI fairness, also known as algorithmic fairness, aims to ensure that algorithms operate without bias or discrimination towards any individual or group. Among various AI algorithms, the Fair Representation Learning (FRL) approach has gained ...
Absorption-Based, Passive Range Imaging from Hyperspectral Thermal Measurements [0.03%]
基于吸收的被动式范围成像来自高光谱热测量
Unay Dorken Gallastegi,Hoover Rueda-Chacon,Martin J Stevens et al.
Unay Dorken Gallastegi et al.
Passive hyperspectral longwave infrared measurements are remarkably informative about the surroundings. Remote object material and temperature determine the spectrum of thermal radiance, and range, air temperature, and gas concentrations de...
Transferable Unintentional Action Localization with Language-guided Intention Translation [0.03%]
基于语言引导意图翻译的可迁移非故意行为定位
Jinglin Xu,Yongming Rao,Jie Zhou et al.
Jinglin Xu et al.
Unintentional action localization (UAL) is a challenging task that requires reasoning about action intention clues to detect the temporal locations of unintentional action occurrences in real-world videos. Previous efforts usually treated t...
Yingpeng Du,Hongzhi Liu,Hengshu Zhu et al.
Yingpeng Du et al.
Matching suitable jobs provided by employers with qualified candidates is a crucial task for online recruitment. Typically, candidates and employers have specific expectations in recruitment market, leading them to prefer similar jobs and c...
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection [0.03%]
YOLO-MS：重新思考实时物体检测中的多尺度表示学习
Yuming Chen,Xinbin Yuan,Jiabao Wang et al.
Yuming Chen et al.
We aim at providing the object detection community with an efficient and performant object detector, termed YOLO-MS. The core design is based on a series of investigations on how multi-branch features of the basic block and convolutions wit...
Xiaohan Lei,Min Wang,Wengang Zhou et al.
Xiaohan Lei et al.
In embodied vision, Instance ImageGoal Navigation (IIN) requires an agent to locate a specific object depicted in a goal image within an unexplored environment. The primary challenge of IIN arises from the need to recognize the target objec...