Allodynia 发表于 2025-3-28 14:46:38
,Action-Based Contrastive Learning for Trajectory Prediction,les. Additional synthetic trajectory samples are generated using a trained Conditional Variational Autoencoder (CVAE), which is at the core of several models developed for trajectory prediction. Results show that our proposed contrastive framework employs contextual information about pedestrian beha开花期女 发表于 2025-3-28 21:41:18
http://reply.papertrans.cn/24/2343/234246/234246_42.png2否定 发表于 2025-3-28 23:01:11
Efficient Point Cloud Segmentation with Geometry-Aware Sparse Networks,n, we propose deep sparse supervision in the training phase to help convergence and alleviate the memory consumption problem. Our GASN achieves state-of-the-art performance on both SemanticKITTI and Nuscenes datasets while running significantly faster and consuming less memory.anus928 发表于 2025-3-29 06:21:53
http://reply.papertrans.cn/24/2343/234246/234246_44.png消极词汇 发表于 2025-3-29 08:57:00
http://reply.papertrans.cn/24/2343/234246/234246_45.pngDecrepit 发表于 2025-3-29 12:33:14
http://reply.papertrans.cn/24/2343/234246/234246_46.pngFICE 发表于 2025-3-29 16:31:45
SLiDE: Self-supervised LiDAR De-snowing Through Reconstruction Difficulty,ow points without any label. Our method achieves the state-of-the-art performance among label-free approaches and is comparable to the fully-supervised method. Moreover, we demonstrate that our method can be exploited as a pretext task to improve label-efficiency of supervised training of de-snowing价值在贬值 发表于 2025-3-29 23:39:49
,Generative Meta-Adversarial Network for Unseen Object Navigation,enerator and an environmental meta discriminator, aiming to generate features for unseen objects and new environments in two steps. The former generates the initial features of the unseen objects based on the semantic embedding of the object category. The latter enables the generator to further learjovial 发表于 2025-3-30 02:04:32
,Object Manipulation via Visual Target Localization,tor, and our analysis shows that our agent is robust to noise in depth perception and agent localization. Importantly, our proposed approach relaxes several assumptions about idealized localization and perception that are commonly employed by recent works in navigation and manipulation – an importan可忽略 发表于 2025-3-30 06:09:59
Inflation and Financial Systems,ter and inter-proposal separation, ...., sharpening the discriminativeness of proposal representations across semantic classes and object instances. The generalizability and transferability of . are verified on various 3D detectors (...., PV-RCNN, CenterPoint, PointPillars and PointRCNN) and dataset