Long-range modeling
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Benchmarks
Most implemented
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Efficiently Modeling Long Sequences with Structured State Spaces
Mega: Moving Average Equipped Gated Attention
Simplified State Space Layers for Sequence Modeling
Long Range Arena: A Benchmark for Efficient Transformers
LongT5: Efficient Text-To-Text Transformer for Long Sequences
Papers
CSG-Mamba: A Convolutional Scoring Gating Vision State Space Network for Endoscopic Polyp Segmentation
Accurate polyp segmentation is critical for computer-aided colonoscopy, yet endoscopic images often contain low-contrast boundaries, mucosal texture interference, specular highlights, and device-dependent appearance shif…
Long-range modelingPolyp SegmentationCLUIE: Clustering-Aware Recurrent Propagation with Local Structural Compensation for Underwater Image Enhancement
Underwater image enhancement remains challenging due to wavelength-dependent light absorption, scattering, and backscattering, which jointly cause color distortion, contrast degradation, and detail loss. Since these degr…
Long-range modelingImage EnhancementE-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras
Event-based 3D tracking enables low-latency and high-speed perception, while existing CNN- and Transformer-based trackers struggle to capture long-range spatiotemporal dependencies in sparse, noisy event streams, especia…
Long-range modelingVisual OdometryState Space Models Meet Remote Sensing: A Survey
State Space Models (SSMs), designed for long-range modeling, offer linear computational complexity and strong capabilities in capturing long-range dependencies. In the field of remote sensing, SSMs have gained popularity…
Long-range modelingProgressive Pixel-Neighborhood Deformable Cross-Attention for Multispectral Object Detection
Effective cross-modal feature alignment and interaction are central challenges in multispectral object detection. Although global cross-attention provides strong long-range modeling ability, its quadratic complexity with…
Multispectral Object DetectionSemantic correspondenceLong-range modelingReload-Mamba: Hierarchical Anti-Dilution State-Space Modeling for Multi-Class Semantic Segmentation
Mamba-based state space models offer linear-time long-range modeling for high-resolution dense prediction, but sequential state-space propagation can attenuate boundary-sensitive and detail-sensitive responses that are c…
Semantic SegmentationLong-range modeling