SOTAVerified

Feature Compression

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

Papers

Showing 51–96 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
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
PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection—0
Pixel-Level Matching for Video Object Segmentation using Convolutional Neural Networks—0
Privacy-Aware Multi-Device Cooperative Edge Inference with Distributed Resource Bidding—0
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective—0
SC2 Benchmark: Supervised Compression for Split Computing—0
Selective Feature Compression for Efficient Activity Recognition Inference—0
Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression—0
SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks—0
Source Feature Compression for Object Classification in Vision-Based Underwater Robotics—0
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
Context-aware Deep Feature Compression for High-speed Visual TrackingCode0
Context-Aware Compilation of DNN Training Pipelines across Edge and CloudCode0
Selective Complementary Feature Fusion and Modal Feature Compression Interaction for Brain Tumor SegmentationCode0
End-to-end Feature Selection Approach for Learning Skinny TreesCode0
Efficient Feature Compression for Edge-Cloud SystemsCode0
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
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