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May 31, 2021 · SegFormer is presented, a simple, efficient yet powerful semantic segmentation framework which unifies Transformers with lightweight multilayer perception (MLP) decoders and shows excellent zero-shot robustness on Cityscapes-C. We present SegFormer, a simple, efficient yet powerful semantic segmentation framework which unifies Transformers with lightweight multilayer perception (MLP) decoders ...
Semantic Scholar. Semantic Scholar ialah sebuah enjin carian berasaskan kepintaran buatan yang dikhususkan bagi terbitan ilmiah yang dibangunkan oleh Allen Institute for AI, dan dilancarkan pada November 2015. [1] Enjin ini menggunakan pemprosesan bahasa semula jadi untuk memberikan ringkasan berkenaan kandungan terbitan ilmiah. [2]
May 18, 2015 · A large, deep convolutional neural network was trained to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes and employed a recently developed regularization method called "dropout" that proved to be very effective. Expand. 109,579. PDF.
Jun 12, 2017 · Attention is All you Need. Ashish Vaswani, Noam M. Shazeer, +5 authors. Illia Polosukhin. Published in Neural Information Processing… 12 June 2017. Computer Science. TLDR. A new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely is proposed, which ...
Jun 17, 2021 · Low-Rank Adaptation, or LoRA, is proposed, which freezes the pre-trained model weights and injects trainable rank decomposition matrices into each layer of the Transformer architecture, greatly reducing the number of trainable parameters for downstream tasks. An important paradigm of natural language processing consists of large-scale pre-training on general domain data and adaptation to ...
2023. TLDR. A deformable 3D Gaussians Splatting method that reconstructs scenes using 3DGaussians and learns them in canonical space with a deformation field to model monocular dynamic scenes and is well-suited for tasks such as novel-view synthesis, time interpolation, and real-time rendering. Expand.
