Proportion of pruning. حسب Bo Tong (2138632)

الموضوعات:

PR comparison chart. حسب Bo Tong (2138632)

الموضوعات:

Changes in improved parameters of the backbone layer. حسب Bo Tong (2138632)

الموضوعات:

MGPC module. حسب Bo Tong (2138632)

الموضوعات:

Comparative experiment. حسب Bo Tong (2138632)

الموضوعات:

Pruning experiment. حسب Bo Tong (2138632)

الموضوعات:

Radar chart comparing indicators. حسب Bo Tong (2138632)

الموضوعات:

Parameter setting table. حسب Bo Tong (2138632)

الموضوعات:

Dataset distribution. حسب Bo Tong (2138632)

الموضوعات:

DTADH module. حسب Bo Tong (2138632)

الموضوعات:

MFD-YOLO structure. حسب Bo Tong (2138632)

الموضوعات:

Comparison of detection effects. حسب Bo Tong (2138632)

الموضوعات:

Detection results of each category. حسب Bo Tong (2138632)

الموضوعات:

Ablation experiment. حسب Bo Tong (2138632)

الموضوعات:

Multi scale detection. حسب Bo Tong (2138632)

الموضوعات:

MFDPN module. حسب Bo Tong (2138632)

الموضوعات:

MFPSP workflow. حسب Chao Wang (146527)

Overview of the proposed improvements to the YOLO11 model. حسب Beigeng Zhao (21637197)

Explanations when optimized towards prediction. حسب Bettina Soós (10860933)

"…Unlike traditional motif detection methods, which rely solely on statistical occurrence frequencies, and therefore can be decoupled from the learning task, our method optimizes important motifs based on fidelity and sparsity, together with sufficiency and necessity, which are deemed key properties when generating explanations for the learning task. …"

Graph of a molecule. حسب Bettina Soós (10860933)

"…Unlike traditional motif detection methods, which rely solely on statistical occurrence frequencies, and therefore can be decoupled from the learning task, our method optimizes important motifs based on fidelity and sparsity, together with sufficiency and necessity, which are deemed key properties when generating explanations for the learning task. …"