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Found 7 papers, 3 papers with code
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
We introduce phi-3-mini, a 3. 8 billion parameter language model trained on 3. 3 trillion tokens, whose overall performance, as measured by both academic benchmarks and internal testing, rivals that of models such as Mixtral 8x7B and GPT-3. 5 (e. g., phi-3-mini achieves 69% on MMLU and 8. 38 on MT-bench), despite being small enough to be deployed on a phone.
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
We introduce Florence-2, a novel vision foundation model with a unified, prompt-based representation for a variety of computer vision and vision-language tasks.
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency
In this paper, we propose a novel contrastive learning method which explores the cross-video relation by using cycle-consistency for general image representation learning.
CvT: Introducing Convolutions to Vision Transformers
We present in this paper a new architecture, named Convolutional vision Transformer (CvT), that improves Vision Transformer (ViT) in performance and efficiency by introducing convolutions into ViT to yield the best of both designs.
Ranked #3 on
Image Classification
on Flowers-102
(using extra training data)
3D Human Pose Estimation via Explicit Compositional Depth Maps
n this work, we tackle the problem of estimating 3D human pose in camera space from a monocular image.
Ranked #21 on
3D Human Pose Estimation
on MPI-INF-3DHP
(PCK metric)
Sequence Level Semantics Aggregation for Video Object Detection
In this work, we argue that aggregating features in the full-sequence level will lead to more discriminative and robust features for video object detection.
Ranked #16 on
Video Object Detection
on ImageNet VID
Simple Baselines for Human Pose Estimation and Tracking
There has been significant progress on pose estimation and increasing interests on pose tracking in recent years.
Ranked #2 on
2D Human Pose Estimation
on JHMDB (2D poses only)
