SOTAVerified

Feature Compression

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

Papers

Showing 5196 of 96 papers

TitleStatusHype
Comparing of Term Clustering Frameworks for Modular Ontology Learning0
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation0
Compressive Feature Selection for Remote Visual Multi-Task Inference0
Cross-architecture universal feature coding via distribution alignment0
Cross Modal Compression: Towards Human-comprehensible Semantic Compression0
Source Feature Compression for Object Classification in Vision-Based Underwater Robotics0
SpikeBottleNet: Spike-Driven Feature Compression Architecture for Edge-Cloud Co-Inference0
Stereo Image Coding for Machines with Joint Visual Feature Compression0
Structurally Consistent MRI Colorization using Cross-modal Fusion Learning0
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference0
Texture-guided Coding for Deep Features0
The Geometric Structure of Topic Models0
Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks0
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach0
Towards unlocking the mystery of adversarial fragility of neural networks0
UCS: A Universal Model for Curvilinear Structure Segmentation0
Vertical Federated Image Segmentation0
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics0
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics0
Memory-Efficient CNN Accelerator Based on Interlayer Feature Map Compression0
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic0
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models0
Near-Lossless Deep Feature Compression for Collaborative Intelligence0
NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation0
Reconstructing Pruned Filters using Cheap Spatial Transformations0
PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection0
Pixel-Level Matching for Video Object Segmentation using Convolutional Neural Networks0
Privacy-Aware Multi-Device Cooperative Edge Inference with Distributed Resource Bidding0
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective0
Selective Feature Compression for Efficient Activity Recognition Inference0
Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression0
SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks0
Flexible Variable-Rate Image Feature Compression for Edge-Cloud SystemsCode0
Supervised Feature Compression based on Counterfactual AnalysisCode0
Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent DrivingCode0
SC2 Benchmark: Supervised Compression for Split ComputingCode0
Selective Complementary Feature Fusion and Modal Feature Compression Interaction for Brain Tumor SegmentationCode0
Efficient Feature Compression for Edge-Cloud SystemsCode0
End-to-end Feature Selection Approach for Learning Skinny TreesCode0
TransVFC: A Transformable Video Feature Compression Framework for MachinesCode0
BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference SystemsCode0
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network AcceleratorsCode0
Understanding Deep Representation Learning via Layerwise Feature Compression and DiscriminationCode0
Effective Communication with Dynamic Feature CompressionCode0
Context-aware Deep Feature Compression for High-speed Visual TrackingCode0
Context-Aware Compilation of DNN Training Pipelines across Edge and CloudCode0
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