AI Paper English F.o.R.

人工知能(AI)に関する論文を英語リーディング教本のFrame of Reference(F.o.R.)を使いこなして読むブログです。

YOLO

YOLO | Abstract 第2段落 第6文

It outperforms other detection methods, including DPM and R-CNN, when generalizing from natural images to other domains like artwork. Joseph Redmon, et al., "You Only Look Once: Unified, Real-Time Object Detection" https://arxiv.org/abs/15…

YOLO | Abstract 第2段落 第5文

Finally, YOLO learns very general representations of objects. Joseph Redmon, et al., "You Only Look Once: Unified, Real-Time Object Detection" https://arxiv.org/abs/1506.02640 物体検出タスクにおいて、CNNのアーキテクチャをシンプルにすること…

YOLO | Abstract 第2段落 第4文

Compared to state-of-the-art detection systems, YOLO makes more localization errors but is less likely to predict false positives on background. Joseph Redmon, et al., "You Only Look Once: Unified, Real-Time Object Detection" https://arxiv…

YOLO | Abstract 第2段落 第3文

A smaller version of the network, Fast YOLO, processes an astounding 155 frames per second while still achieving double the mAP of other real-time detectors. Joseph Redmon, et al., "You Only Look Once: Unified, Real-Time Object Detection" …

YOLO | Abstract 第2段落 第2文

Our base YOLO model processes images in real-time at 45 frames per second. Joseph Redmon, et al., "You Only Look Once: Unified, Real-Time Object Detection" https://arxiv.org/abs/1506.02640 物体検出タスクにおいて、CNNのアーキテクチャをシン…

YOLO | Abstract 第2段落 第1文

Our unified architecture is extremely fast. Joseph Redmon, et al., "You Only Look Once: Unified, Real-Time Object Detection" https://arxiv.org/abs/1506.02640 物体検出タスクにおいて、CNNのアーキテクチャをシンプルにすることで、Faster R-CNNに…

YOLO | Abstract 第1段落 第5文

Since the whole detection pipeline is a single network, it can be optimized end-to-end directly on detection performance. Joseph Redmon, et al., "You Only Look Once: Unified, Real-Time Object Detection" https://arxiv.org/abs/1506.02640 物…

YOLO | Abstract 第1段落 第4文

A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation. Joseph Redmon, et al., "You Only Look Once: Unified, Real-Time Object Detection" https://arxiv.org/abs/1506.02640 物体検出…

YOLO | Abstract 第1段落 第3文

Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities. Joseph Redmon, et al., "You Only Look Once: Unified, Real-Time Object Detection" https://arxiv.org/abs/150…

YOLO | Abstract 第1段落 第2文

Prior work on object detection repurposes classifiers to perform detection. Joseph Redmon, et al., "You Only Look Once: Unified, Real-Time Object Detection" https://arxiv.org/abs/1506.02640 物体検出タスクにおいて、CNNのアーキテクチャをシン…

YOLO | Abstract 第1段落 第1文

We present YOLO, a new approach to object detection. Joseph Redmon, et al., "You Only Look Once: Unified, Real-Time Object Detection" https://arxiv.org/abs/1506.02640 物体検出タスクにおいて、CNNのアーキテクチャをシンプルにすることで、Faste…