Co-occurring keywords · papers mentioning both
Papers
LWGANet: Addressing Spatial and Channel Redundancy in Remote Sensing Visual Tasks with Light-Weight Grouped Attention
AAAI 2026
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data
ICLR 2025
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis
AAAI 2025
Knowledge-Aware Neuron Interpretation for Scene Classification
AAAI 2024
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing
AAAI 2024
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
CVPR 2023
Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract)
AAAI 2023
Audio-Visual Scene Classification Based on Multi-modal Graph Fusion
Interspeech 2022
See More for Scene: Pairwise Consistency Learning for Scene Classification
NeurIPS 2021
What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions
ICLR 2021
A Transformer-Based Audio Captioning Model with Keyword Estimation
Interspeech 2020
ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition
AAAI 2019
HexaConv
ICLR 2018
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs
NeurIPS 2016
Object based Scene Representations using Fisher Scores of Local Subspace Projections
NeurIPS 2016
Harvesting Discriminative Meta Objects With Deep CNN Features for Scene Classification
ICCV 2015
Learning Coarse-to-Fine Sparselets for Efficient Object Detection and Scene Classification
CVPR 2015
Multi-Scale Recognition With DAG-CNNs
ICCV 2015
Per-Sample Kernel Adaptation for Visual Recognition and Grouping
ICCV 2015
Scene Classification With Semantic Fisher Vectors
CVPR 2015
SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite
CVPR 2015
Bags of Spacetime Energies for Dynamic Scene Recognition
CVPR 2014
Latent Semantic Representation Learning for Scene Classification
ICML 2014
Learning Deep Features for Scene Recognition using Places Database
NeurIPS 2014
Learning Important Spatial Pooling Regions for Scene Classification
CVPR 2014