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Feature Compression

Compress data for machine interpretability to perform downstream tasks, rather than for human perception.

Papers

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Showing 51–75 of 96 papers

TitleStatusHype
Comparing of Term Clustering Frameworks for Modular Ontology Learning—0
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation—0
Compressive Feature Selection for Remote Visual Multi-Task Inference—0
Cross-architecture universal feature coding via distribution alignment—0
Cross Modal Compression: Towards Human-comprehensible Semantic Compression—0
Source Feature Compression for Object Classification in Vision-Based Underwater Robotics—0
SpikeBottleNet: Spike-Driven Feature Compression Architecture for Edge-Cloud Co-Inference—0
Stereo Image Coding for Machines with Joint Visual Feature Compression—0
Structurally Consistent MRI Colorization using Cross-modal Fusion Learning—0
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference—0
Texture-guided Coding for Deep Features—0
The Geometric Structure of Topic Models—0
Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks—0
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach—0
Towards unlocking the mystery of adversarial fragility of neural networks—0
UCS: A Universal Model for Curvilinear Structure Segmentation—0
Vertical Federated Image Segmentation—0
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics—0
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics—0
Memory-Efficient CNN Accelerator Based on Interlayer Feature Map Compression—0
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic—0
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models—0
Near-Lossless Deep Feature Compression for Collaborative Intelligence—0
NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation—0
Reconstructing Pruned Filters using Cheap Spatial Transformations—0
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