Ryuto Ishibashi

Systematic Evaluation of Object Detection Model Modifications for Small-Dataset Apple Surface Defect Detection

Automatic detection of apple surface defects plays a crucial role in precision agriculture. However, developing an optimal detection model for this task remains challenging because defect sizes vary widely, ranging from small punctate lesions to large discolored patches, while the scarcity of annotated training data fu...

Real-time Object Detection and Semantic Mapping on CPU-Powered Mobile Robot

Multi-Modal Video Action Recognition with Learnable Frame Pruning via Temporal Token Scoring

Sensitivity-Guided Mixed-Precision Post-Training Quantization for MambaVision

Hybrid vision backbones such as MambaVision combine convolutional layers, Mamba blocks (based on selective state space models), and self-attention within a single architecture. However, the heterogeneous operator composition of such models poses new challenges for post-training quantization (PTQ): uniform bit-width ass...