PANEL 发表于 2025-3-25 07:05:26
g benchmark videos. Our experiments clearly suggest that a careful selection of color feature together with an optimal fusion strategy, significantly outperforms the standard luminance based channel representation. Finally, we show promising results compared to state-of-the-art tracking methods in tGlutinous 发表于 2025-3-25 09:41:18
B. Badurag benchmark videos. Our experiments clearly suggest that a careful selection of color feature together with an optimal fusion strategy, significantly outperforms the standard luminance based channel representation. Finally, we show promising results compared to state-of-the-art tracking methods in t发芽 发表于 2025-3-25 14:56:05
http://reply.papertrans.cn/59/5832/583121/583121_23.pngCLAM 发表于 2025-3-25 19:46:06
H. Lehmann,J. Bauer,G. Kaufholdg benchmark videos. Our experiments clearly suggest that a careful selection of color feature together with an optimal fusion strategy, significantly outperforms the standard luminance based channel representation. Finally, we show promising results compared to state-of-the-art tracking methods in t新鲜 发表于 2025-3-25 23:35:58
http://reply.papertrans.cn/59/5832/583121/583121_25.png爆炸 发表于 2025-3-26 00:26:13
http://reply.papertrans.cn/59/5832/583121/583121_26.png排名真古怪 发表于 2025-3-26 05:09:50
http://reply.papertrans.cn/59/5832/583121/583121_27.png适宜 发表于 2025-3-26 09:11:33
T. Schottgnition with the Oxford Radar RobotCar dataset. The benchmark includes fixed gallery, training and test sequences, corrected ground truth, and a strong baseline method. All data and code will be made publicly available to facilitate fair method comparison and development.消毒 发表于 2025-3-26 13:27:51
http://reply.papertrans.cn/59/5832/583121/583121_29.pngAdenocarcinoma 发表于 2025-3-26 18:34:07
H. Pfaffchallenging, which calls for efficient ways to leverage as much as possible of the available information in the degraded image during reconstruction. In this paper, we propose REsolution and LIght Enhancement transFormer (RELIEF), a novel Transformer-based multi-scale hierarchical encoder-decoder ne