cs papers | Gist.Science

Cross-Domain Transfer Learning for Brain Tumor Classification Under Limited MRI Data Regimes: A Fraction-Resolved Benchmark with Explicit Statistical and Methodological Caveats

This study demonstrates that ImageNet-pretrained EfficientNet-B0 significantly outperforms random initialization for four-class brain tumor MRI classification only under extreme data scarcity (5% of 5,600 images), while highlighting critical limitations such as potential patient-level data leakage and the lack of statistical significance for transfer learning benefits at larger data fractions, ultimately arguing against autonomous deployment without further rigorous validation.

Nakib Uddin Ahmed, Azizur Rahman, Mehjabin Ferdous, Md. Shahadat Hossain, Kadirur Rahman Chowdhury, Akhlak Uz Zaman Ashi (…)2026-08-10

💻 computer science

Comprehensive Analysis of Machine Learning Models for Five-Class Sleep Stage Classification Using PPG Signals

This study demonstrates that a Random Forest model utilizing combined PPG and inter-beat interval features can achieve accurate, interpretable, and computationally efficient five-class sleep stage classification from wearable PPG signals, offering a viable alternative to resource-intensive deep learning approaches.

Rafael Martins, Rita Ribeiro, Hugo Pereira, Vasco Silva, Alberto Freitas, Rute Almeida, Goreti Marreiros, Luís Conceição2026-08-10

💻 computer science

LDMFNet: A Lightweight Dual-Modal Fusion Network for Accurate Multispectral Object Detection

The paper proposes LDMFNet, a lightweight dual-modal fusion network featuring a dual-feature backbone and specialized attention modules to achieve accurate, efficient multispectral object detection across various datasets while outperforming existing algorithms in precision and generalization.

Dongping Cao, Guogang Li2026-08-10

💻 computer science

BMTransUNet: Boundary-Aware Gated Multimodal Transformer for Remote Sensing Semantic Segmentation

The paper proposes BMTransUNet, a boundary-aware gated multimodal Transformer U-Net that integrates RGB and DSM data through adaptive fusion, Vision Transformer-based context modeling, and edge-enhanced skip connections to achieve superior semantic segmentation accuracy in remote sensing images.

Xiaona Peng, Chengyun Liu, Yaping Zhao, Zhenyan Wang, Zhong Chen, Zhenxue Chen2026-08-10

💻 computer science

A New Robust Scheme for Salt and Pepper Noise Filtering Using Fuzzy Cellular Automata

This paper proposes a robust, two-phase filtering scheme that combines fuzzy cellular automata with Jaccard similarity and Hamming distance measures to effectively detect and remove salt and pepper noise while preserving fine image details and outperforming existing techniques.

Mohammad Mehdi Piroozmandan2026-08-10

💻 computer science

Scene-aware Transformer encoder with Multi Instance Learning-guided Attention Mechanism for Anomaly Detection in Video Surveillance

This paper proposes the STAM framework, which integrates contrastive learning for scene-aware embeddings with a transformer encoder guided by Multi-Instance Learning attention, to effectively address contextual and temporal limitations in video anomaly detection and achieve superior accuracy on benchmark datasets.

Rifa Nizam Khan, Mohd. Amjad2026-08-10

💻 computer science

SemPix3D: Hybrid approach to generalized 3D aware image Synthesis and Generation using Conditional GAN

SemPix3D proposes a hybrid framework combining a Neural Radiance Field for 3D-aware label map generation and a StyleGAN-based generator to synthesize high-quality, consistent multi-view RGB images, achieving significant improvements in diversity and FID scores over existing methods.

Souvik Bandyopadhyay, Tamal Pal2026-08-10

💻 computer science

Dynamic Lightweight YOLO for UAV-Based Forest Fire Detection\

This paper proposes a lightweight, improved YOLOv8n model for UAV-based forest fire detection that integrates dynamic convolution, a multi-aware detection head, and cross-spatial attention to significantly enhance small target accuracy and reduce false alarms while maintaining a compact size suitable for real-time onboard deployment.

Xiang Yin, Yinxia Xu, Ruofan Zhang2026-08-10

💻 computer science

SCEESR: Semantic-Control Edge Enhancement for Diffusion-Based Super-Resolution

The paper proposes SCEESR, a novel one-step diffusion-based super-resolution framework that utilizes a ControlNet mechanism for semantic edge guidance and a hybrid loss function to effectively balance structural integrity, perceptual quality, and inference speed in real-world image restoration.

Yun Kai Zhuang2026-08-10

💻 computer science

Multi-scale Adaptive Framework for Dense Small Target Detection in SAR Images

This paper proposes FMA-DETR, an adaptive Transformer framework that integrates a Feature Refinement Network, a Multi-scale Spatial-Channel Mixed Attention module, and an Adaptive Frequency-aware Fusion module to effectively overcome speckle noise and background complexity for high-accuracy dense small target detection in SAR images.

Chunming Tang, Zhuangzhi Ji2026-08-10

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