相符 发表于 2025-3-28 18:39:28
Norbert Manthey,Tobias Philipp,Peter Steinken, menschenverachtenden Ausmaße, nicht mehr treffend in den üblichen Normübertretungs-Kategorien fassen ließ. Ähnlich erging es der grünen Bewegung, wie auch immer sie beiderseits des Rheins präsent und gestimmt war, mit der neuen Entwicklung der vorhergesehenen Klimakatastrophe.ESO 发表于 2025-3-28 21:39:10
Shoubhik Debnath,Shiv Sankar Baishya,Rudolph Triebel,Varun Dutt,Daniel Cremers其他 发表于 2025-3-28 23:44:38
http://reply.papertrans.cn/55/5417/541643/541643_43.png记成蚂蚁 发表于 2025-3-29 05:10:39
Özgür Lütfü Özçep,Ralf Möller,Christian Neuenstadt汇总 发表于 2025-3-29 07:21:00
http://reply.papertrans.cn/55/5417/541643/541643_45.pngMettle 发表于 2025-3-29 14:46:26
Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Dataapply our method to the problem of object detection in indoor environments, for which we use a region-of-interest detector before learning. In experiments we show that our adaptive SSL method can outperform the standard non-adaptive supervised approach on an indoor office data set.Acquired 发表于 2025-3-29 16:29:12
http://reply.papertrans.cn/55/5417/541643/541643_47.png破裂 发表于 2025-3-29 22:06:54
http://reply.papertrans.cn/55/5417/541643/541643_48.pngchandel 发表于 2025-3-30 00:12:07
Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networksod to provide depth information to convolutional neural networks. For this purpose, we apply a simplified version of the histogram of oriented depth (HOD) descriptor to the depth channel. We evaluate the network on the challenging NYU Depth V2 dataset and show that with our method, we can reach competitive performance at a high frame rate.Allodynia 发表于 2025-3-30 05:05:16
Formula Simplifications as DRAT Derivationsormulas an unsatisfiability proof has to be created. This paper presents certificate constructions for various formula simplification techniques, which are crucial to the success of modern SAT solvers.