Oct 22, 2024 · In each memory pathway, we devise object-aware memory selection to retrieve frames with discriminative objects. Meanwhile, we modulate the memory attention ...
Oct 31, 2024 · The entire model is then trained in a conventional discriminative learning setup. However, replacing parts of the generative model with newly initialized ...
2 days ago · Discriminative Frames Picker (DFPicker) was a proposed video semantic key frame extraction algorithm that utilized many crucial processes to select ...
Missing: Fast | Show results with:Fast
Nov 3, 2024 · Jiang et al. proposed a multi-attribute driven Vehicle Re-ID method to learn discriminative feature representations. Chen et al. proposed a Vehicle ...
Oct 18, 2024 · A few machine learning methods, such as Penalized Discriminant Analysis (PDA) ... ReCNN, Fast ReCNN, and Faster ReCNN were used for object detection.
Oct 30, 2024 · It is a common issue where WSOD models tend to focus solely on discriminative parts of objects, such as the faces of “person,” which can compromise the quality ...
7 days ago · ... discriminative information for fine-grained object segmentation. Finally, we integrate these features by using the proposed pixel-region fusion module and ...
Nov 5, 2024 · ... learn discriminative features and make. predictions with high precision. Region-based. methods, such as Faster R-CNN and Mask R-CNN,. and single-shot methods ...
Oct 29, 2024 · Kalman Filter: Predicts an object's next position. CSRT (Discriminative Correlation Filter with Channel and Spatial Reliability): Suitable for high-precision ...
Oct 19, 2024 · ... discriminative model prediction for tracking. In: ICCV. pp. 6182–6191 (2019) ... video object segmentation with simplified framework. In: Proceedings of ...