Results 41 to 50 of about 4,930,132 (374)

Point Cloud Instance Segmentation with Inaccurate Bounding-Box Annotations

open access: yesSensors, 2023
Most existing point cloud instance segmentation methods require accurate and dense point-level annotations, which are extremely laborious to collect.
Yinyin Peng, Hui Feng, Tao Chen, Bo Hu
doaj   +1 more source

CORSD: Class-Oriented Relational Self Distillation

open access: yesICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Knowledge distillation conducts an effective model compression method while holding some limitations:(1) the feature based distillation methods only focus on distilling the feature map but are lack of transferring the relation of data examples; (2) the relational distillation methods are either limited to the handcrafted functions for relation ...
Yu, Muzhou   +5 more
openaire   +2 more sources

A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations [PDF]

open access: yesIEEE transactions on multimedia, 2023
Emotion recognition in conversations (ERC), the task of recognizing the emotion of each utterance in a conversation, is crucial for building empathetic machines.
Hui Ma   +5 more
semanticscholar   +1 more source

SdAE: Self-distillated Masked Autoencoder

open access: yes, 2022
With the development of generative-based self-supervised learning (SSL) approaches like BeiT and MAE, how to learn good representations by masking random patches of the input image and reconstructing the missing information has grown in concern. However, BeiT and PeCo need a "pre-pretraining" stage to produce discrete codebooks for masked patches ...
Chen, Yabo   +6 more
openaire   +2 more sources

Production of ethanol from sugars and lignocellulosic biomass by Thermoanaerobacter J1 Isolated from a hot spring in Iceland [PDF]

open access: yes, 2012
Thermophilic bacteria have gained increased attention as candidates for bioethanol production from lignocellulosic biomass. This study investigated ethanol production by Thermoanaerobacter strain J1 from hydrolysates made from lignocellulosic biomass in ...
Jessen, Jan Eric, Orlygsson, Johann
core   +2 more sources

Multisensor Land Cover Classification With Sparsely Annotated Data Based on Convolutional Neural Networks and Self-Distillation

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Extensive research studies have been conducted in recent years to exploit the complementarity among multisensor (or multimodal) remote sensing data for prominent applications such as land cover mapping.
Yawogan Jean Eudes Gbodjo   +4 more
doaj   +1 more source

Self-distilled Vision Transformer for Domain Generalization

open access: yes, 2023
23 pages, 12 ...
Sultana, Maryam   +4 more
openaire   +2 more sources

SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking [PDF]

open access: yesComputer Vision and Pattern Recognition
Multimodal Visual Object Tracking (VOT) has recently gained significant attention due to its robustness. Early research focused on fully fine-tuning RGB-based trackers, which was inefficient and lacked generalized representation due to the scarcity of ...
Xiaojun Hou   +10 more
semanticscholar   +1 more source

Recent advances in second generation ethanol production by thermophilic bacteria [PDF]

open access: yes, 2014
There is an increased interest in using thermophilic bacteria for the production of bioethanol from complex lignocellulosic biomass due to their higher operating temperatures and broad substrate range.
Orlygsson, Johann, Scully, Sean
core   +2 more sources

A Mutually Auxiliary Multitask Model With Self-Distillation for Emotion-Cause Pair Extraction

open access: yesIEEE Access, 2021
Emotion-cause pair extraction (ECPE), which aims to extract emotions and the corresponding causes in documents, has a wide range of applications in network public opinion analysis.
Jiaxin Yu   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy