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In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Work- shops (CVPR W), pp

Baseline reference. 60% of citing Pith papers use this work as a benchmark or comparison.

28 Pith papers citing it
Baseline 60% of classified citations

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Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning

cs.CV · 2026-06-08 · unverdicted · novelty 7.0

FisherAdapTune uses temporal drift in Fisher geometry, measured by scale-invariant Jensen-Shannon distance, to progressively freeze stabilized parameter groups during fine-tuning, reporting gains on segmentation and zero-shot transfer.

Fleet: Few Shots Lead Effective AI-generated Image Detection

cs.CV · 2026-06-30 · unverdicted · novelty 6.0

Fleet achieves dynamic few-shot adaptation for AIGI detection via avoidance routing in decoupled subspaces, raising accuracy from 20.4% to 73.1% on new generators like Doubao Seedream 4.0 with 10 shots.

Harnessing Streaming Video in the Wild

cs.CV · 2026-06-07 · unverdicted · novelty 6.0

Presents Streaming-Train-248K dataset, Streaming Harness system, and Streaming-Eval benchmark to enable VLMs for proactive, memory-equipped streaming video understanding.

AFUN: Towards an Affordance Foundation Model for Functionality Understanding

cs.RO · 2026-06-01 · unverdicted · novelty 6.0

AFUN predicts task-conditional functional masks and 3D post-contact motion curves from RGB-D and language, trained via a standardized multi-source data pipeline, and reports large gains over baselines on segmentation, contact prediction, and motion tasks.

Causal Attribution via Activation Patching

cs.CV · 2026-03-13 · unverdicted · novelty 6.0

CAAP produces patch attributions in ViTs by direct activation patching on intermediate layers to measure causal contribution to the target class score.

Deep Light Pollution Removal in Night Cityscape Photographs

cs.CV · 2026-04-10 · unverdicted · novelty 5.0

A deep learning method with an enhanced physical degradation model incorporating anisotropic light spread and hidden skyglow, trained via generative models and synthetic-real coupling, removes light pollution from night cityscape images more effectively than prior restoration techniques.

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