Trending Research
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
microsoft/torchgeo
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NeurIPS 2023
The Landsat program is the longest-running Earth observation program in history, with 50+ years of data acquisition by 8 satellites.
ClimaX: A foundation model for weather and climate
microsoft/ClimaX
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We develop and demonstrate ClimaX, a flexible and generalizable deep learning model for weather and climate science that can be trained using heterogeneous datasets spanning different variables, spatio-temporal coverage, and physical groundings.
Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
zhenye234/xcodec
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By enhancing the semantic ability of the codec, X-Codec significantly reduces WER in speech synthesis tasks and extends these benefits to non-speech applications, including music and sound generation.
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
thudm/longwriter
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By incorporating this dataset into model training, we successfully scale the output length of existing models to over 10, 000 words while maintaining output quality.
Law of Vision Representation in MLLMs
bronyayang/law_of_vision_representation_in_mllms
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We present the "Law of Vision Representation" in multimodal large language models (MLLMs).
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
It comprises two essential components: the localization module (LM) and the reconstruction module (RM) with our proposed bilateral reference (BiRef).
Ranked #1 on
Camouflaged Object Segmentation
on COD
Camouflaged Object Segmentation
Dichotomous Image Segmentation
+3
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
openbmb/minicpm
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For data scaling, we introduce a Warmup-Stable-Decay (WSD) learning rate scheduler (LRS), conducive to continuous training and domain adaptation.
AnyGraph: Graph Foundation Model in the Wild
hkuds/anygraph
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Furthermore, we have validated the model's fast adaptation ability and scaling law emergence, showcasing its versatility.
LinFusion: 1 GPU, 1 Minute, 16K Image
We find that the distilled model, termed LinFusion, achieves performance on par with or superior to the original SD after only modest training, while significantly reducing time and memory complexity.
Cradle: Empowering Foundation Agents Towards General Computer Control
To handle this issue, we propose the General Computer Control (GCC) setting to restrict foundation agents to interact with software through the most unified and standardized interface, i. e., using screenshots as input and keyboard and mouse actions as output.
